Shinji Watanabe's Audio and Voice Lab | WAVLab @LTIatCMU @SCSatCMU | Speech Recognition, Speech Enhancement, Spoken Language Understanding, and more.

Joined August 2021
WAVLab | @CarnegieMellon retweeted
My Google Scholar h-index just reached 100! 🙂 My first paper was in 1999, and behind these 100 are students and collaborators in academia and industry, plus the open-source community and challenges. This number is really yours. Thank you all! 🙏 scholar.google.com/citations…
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WAVLab | @CarnegieMellon retweeted
🚀 A new conference is coming! ASLI 2027: IEEE International Conference on Audio, Speech, and Language Intelligence Continuing the legacy of ASRU and SLT, ASLI brings together audio, speech, language & intelligence. Singapore | Nov. 29–Dec. 4, 2027 2027.ieeeasli.org/
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WAVLab | @CarnegieMellon retweeted
A long-held dream, finally real: JSALT 2027 comes to Japan!! Tohoku University, Sendai, 14 Jun – 6 Aug 2027. One problem, one team drawn from academia, industry and government, in residence. A first in Japan in three decades. 1-page proposals due 16 Oct: forms.gle/Q6ZSxkJtLLRZcnJQ9
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WAVLab | @CarnegieMellon retweeted
Interspeech 2026 in Sydney starts this Sunday, Sept. 27! We present 2 tutorials and 19 papers 🙂 Sunday tutorials: - On the Landscape of Spoken Language Models (AM) - Conversational Speech Recognition & Analysis with Speech LMs (PM) If you see me, say hi 😉 See you in Sydney!
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WAVLab | @CarnegieMellon retweeted
Excited to share our new paper to be presented at SLT 2026 in Palermo! 🇮🇹 🎉 We show that phone segmentation and recognition can be solved jointly by manipulating SSL representations using less than a minute of labeled speech. (1/n)
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WAVLab | @CarnegieMellon retweeted
Shikhar Bharadwaj, Kwanghee Choi, Stephen McIntosh, Chin-Jou Li, Eunjung Yeo, Daisuke Saito, Nobuaki Minematsu, Shinji Watanabe, Jian Zhu, David Harwath, David R. Mortensen, "Phone Segmentation and Recognition through Phonological Activation Mapping" arxiv.org/abs/2607.09020
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WAVLab | @CarnegieMellon retweeted
Excited to share that our work on ESPnet3 has been accepted to Interspeech 2026! We’ll be releasing it soon, stay tuned!
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WAVLab | @CarnegieMellon retweeted
We are looking for a postdoctoral researcher in speech and audio processing, with a possible start in the Fall 2026 semester. If you are interested in working with us, please apply through the following form: forms.gle/gfENMMrRf1nmnTJeA
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WAVLab | @CarnegieMellon retweeted
Accepted to ICML! See y’all in Korea 🇰🇷
What if you had nano-banana for audio? AudioChat is a multi-modal LM that performs fine-grained understanding, generation, and editing of multi-source scenes By diffusing continuous latents, it generates 48khz stereo edits with great input adherence: wanchichen.github.io/audioch…
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WAVLab | @CarnegieMellon retweeted
6 papers (4 main and 2 findings) were accepted at #ACL2026! All are speech papers :)
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WAVLab | @CarnegieMellon retweeted
Shikhar Bharadwaj, Chin-Jou Li, Kwanghee Choi, Eunjung Yeo, William Chen, Shinji Watanabe, David R. Mortensen, "An Empirical Recipe for Universal Phone Recognition," arxiv.org/abs/2603.29042
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WAVLab | @CarnegieMellon retweeted
PRiSM: Benchmarking Phone Realization in Speech Models Shikhar Bharadwaj, Chin-Jou Li, Yoonjae Kim, Kwanghee Choi, Eunjung Yeo, Ryan Soh-Eun Shim, Hanyu Zhou, Brendon Boldt, Karen Rosero Jacome, Kalvin Chang, Darsh Agrawal, … arxiv.org/abs/2601.14046 [𝚌𝚜.𝙲𝙻 𝚌𝚜.𝚂𝙳]
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WAVLab | @CarnegieMellon retweeted
Chenda Li, Wei Wang, Marvin Sach, Wangyou Zhang, Kohei Saijo, Samuele Cornell, Yihui Fu, Zhaoheng Ni, Tim Fingscheidt, Shinji Watanabe, Yanmin Qian, "ICASSP 2026 URGENT Speech Enhancement Challenge," arxiv.org/abs/2601.13531
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WAVLab | @CarnegieMellon retweeted
Heading to NeurIPS 2025 in San Diego! I’ll present our spotlight poster, ARECHO, focusing on speech multi-metric estimation. 📍 Exhibit Hall C,D,E #2000 🗓️ Thu Dec 4, 11 a.m.–2 p.m. PST If you’re around, let’s say hi or grab a coffee!
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WAVLab | @CarnegieMellon retweeted
This is exactly the reason we worked for ESPnet-Codec, but being really hard to keep tracking as people are fast nowadays. The similar issue happens at most speech tasks from ASR, TTS, to general speech LLM. It's a bit sad time for driving scientific findings 🥲
ヌラールオヂオーコデクの論文、全く違うデータで学習されたモデルを比較して「ワイらのモデル最強や!!😤😤😤」と主張しているものばかりで😩😩😩😩😩😩😩😩😩😩😩に関するMOS値が1000000になった
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WAVLab | @CarnegieMellon retweeted
🚀 I’m open to new opportunities in industry! Ph.D. candidate @CMU (advisor: @shinjiw_at_cmu ). Research: speech/audio AI, speech LLMs, evaluation frameworks. Ex-Meta AI, Tencent, IBM Research. DMs open — let’s connect!
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